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Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients


Apr 27, 2021
Bozhidar Vasilev, Tarun Gupta, Bei Peng, Shimon Whiteson


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Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning


Mar 22, 2021
Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson


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Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing


Mar 01, 2021
Charlie Blake, Vitaly Kurin, Maximilian Igl, Shimon Whiteson

* 13 pages, 12 figures, submitted to ICML 2021 

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Breaking the Deadly Triad with a Target Network


Feb 09, 2021
Shangtong Zhang, Hengshuai Yao, Shimon Whiteson


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Deep Interactive Bayesian Reinforcement Learning via Meta-Learning


Jan 11, 2021
Luisa Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann


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Average-Reward Off-Policy Policy Evaluation with Function Approximation


Jan 08, 2021
Shangtong Zhang, Yi Wan, Richard S. Sutton, Shimon Whiteson


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Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?


Nov 18, 2020
Christian Schroeder de Witt, Tarun Gupta, Denys Makoviichuk, Viktor Makoviychuk, Philip H. S. Torr, Mingfei Sun, Shimon Whiteson


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UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning


Oct 06, 2020
Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Böhmer, Shimon Whiteson

* Under review 

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My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control


Oct 05, 2020
Vitaly Kurin, Maximilian Igl, Tim Rocktäschel, Wendelin Boehmer, Shimon Whiteson


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RODE: Learning Roles to Decompose Multi-Agent Tasks


Oct 04, 2020
Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang


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A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms


Oct 02, 2020
Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes


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Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning


Oct 02, 2020
Luisa Zintgraf, Leo Feng, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson


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Exploiting Submodular Value Functions For Scaling Up Active Perception


Sep 21, 2020
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan

* Autonomous Robot 42 2018. Original article available via Springer journal open access: https://link.springer.com/article/10.1007/s10514-017-9666-5 

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Real-Time Resource Allocation for Tracking Systems


Sep 21, 2020
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Henri Bouma

* UAI 2017 
* http://auai.org/uai2017/proceedings/papers/130.pdf 

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WordCraft: An Environment for Benchmarking Commonsense Agents


Jul 17, 2020
Minqi Jiang, Jelena Luketina, Nantas Nardelli, Pasquale Minervini, Philip H. S. Torr, Shimon Whiteson, Tim Rocktäschel


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Learning Retrospective Knowledge with Reverse Reinforcement Learning


Jul 09, 2020
Shangtong Zhang, Vivek Veeriah, Shimon Whiteson


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Weighted QMIX: Expanding Monotonic Value Function Factorisation


Jun 18, 2020
Tabish Rashid, Gregory Farquhar, Bei Peng, Shimon Whiteson


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The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning


Jun 16, 2020
Maximilian Igl, Gregory Farquhar, Jelena Luketina, Wendelin Boehmer, Shimon Whiteson


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AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning


Jun 07, 2020
Shariq Iqbal, Christian A. Schroeder de Witt, Bei Peng, Wendelin Böhmer, Shimon Whiteson, Fei Sha


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Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning


May 27, 2020
Shangtong Zhang, Bo Liu, Shimon Whiteson


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Privileged Information Dropout in Reinforcement Learning


May 19, 2020
Pierre-Alexandre Kamienny, Kai Arulkumaran, Feryal Behbahani, Wendelin Boehmer, Shimon Whiteson


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Maximizing Information Gain in Partially Observable Environments via Prediction Reward


May 11, 2020
Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans Oliehoek, Martha White

* AAMAS 2020 

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Per-Step Reward: A New Perspective for Risk-Averse Reinforcement Learning


Apr 22, 2020
Shangtong Zhang, Bo Liu, Shimon Whiteson


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Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning


Mar 19, 2020
Tabish Rashid, Mikayel Samvelyan, Christian Schroeder de Witt, Gregory Farquhar, Jakob Foerster, Shimon Whiteson

* Extended version of our ICML 2018 paper (arXiv:1803.11485) 

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Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control


Mar 18, 2020
Christian Schroeder de Witt, Bei Peng, Pierre-Alexandre Kamienny, Philip Torr, Wendelin Böhmer, Shimon Whiteson


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